Bee colony algorithm for real-time optimal path planning of mobile robots

Author

Saffari, M.H. ; Mahjoob, M.J.

Author_Institution

Sch. of Mech. Eng., Univ. of Tehran, Tehran, Iran

fYear

2009

fDate

2-4 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a novel method to solve the problem of path planning for mobile robots based on bee colony algorithm. The method is inspired by collective behavior of honeybees to find food sources around the hive. The proposed method includes two steps. The first step is to use a simple rule to establish an initial collision-free path from the starting point to the target and the second step is utilizing bee colony algorithm to optimize the initial path. The results of computer simulations show that the proposed method is effective and can be used in the real-time path planning of mobile robots.

Keywords

mobile robots; optimisation; path planning; bee colony algorithm; computer simulations; honeybees; mobile robots; real-time optimal path planning; Artificial neural networks; Computer simulation; Constraint optimization; Mechanical engineering; Mechatronics; Mobile robots; Path planning; Profitability; Robotics and automation; Watches;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on

Conference_Location

Famagusta

Print_ISBN

978-1-4244-3429-9

Electronic_ISBN

978-1-4244-3428-2

Type

conf

DOI

10.1109/ICSCCW.2009.5379462

Filename

5379462